MLOps Engineer / ML Engineer

Job Opening: MLOps Engineer / ML Engineer

About the Role

MLOps Engineer / ML Engineer

Interested Candidates share resume:

manojkumar@tetrahed.com

Key Responsibilities

• Transform ML prototypes into production-grade models.
• Build and maintain machine learning pipelines and infrastructure across

  AWS

  ,

  Azure

  , or

  GCP

  .
• Develop

  REST APIs

  or

  FastAPI

  services for real-time predictions and integrations.
• Monitor and optimize live ML models, implementing

  drift detection

  and accuracy tracking.
• Manage

  CI/CD

  cycles for ML models, including testing and automated deployment.
• Implement logging, alerting, and performance optimization for model services.
• Collaborate with cross-functional teams on model deployment, governance, and compliance.
• Contribute to AI/ML best practices, platform enhancements, and scalable infrastructure.
  

Required Skills & Experience

• 6-10 years

  of experience in MLOps, ML Engineering, or a related field.
• Strong programming skills in

  Python

  ,

  SQL

  ,

  PySpark

  .
• Hands-on experience with

  containerization

  and orchestration (

  Docker

  ,

  Kubernetes

  , Podman).
• Proven experience with

  CI/CD pipelines

  ,

  MLflow

  , or similar MLOps platforms.
• Expertise in cloud platforms (

  AWS SageMaker

  ,

  Azure ML

  ,

  GCP AI Platform

  ).
• Proficiency in ML frameworks:

  TensorFlow

  ,

  PyTorch

  ,

  Scikit-learn

  .
• Experience with

  FastAPI

  or

  Flask

  for serving ML models.
• Knowledge of

  Apache Airflow

  ,

  Prefect

  , or other pipeline orchestration tools.
• Strong problem-solving, analytical, and communication skills.
• Experience with

  Databricks

  is a plus.
• Relevant cloud or ML certifications are an advantage.
  

Tools & Technologies Youll Work With

• ML Development:

  TensorFlow, PyTorch, Scikit-learn, MLflow, Weights & Biases

• Serving & Packaging:

  Docker, Kubernetes, FastAPI, Flask, ONNX

• CI/CD:

  GitHub Actions, GitLab CI, Jenkins, ZenML

• Cloud:

  AWS, Azure, GCP

• Orchestration:

  Airflow, Prefect

• Monitoring:

  Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI

Interested Candidates share resume:

manojkumar@tetrahed.com